HBase使用TableMapper时出现Mapreduce依赖关系问题

Question

我使用的是CDH5.3，我正试图编写一个mapreduce程序来扫描表并进行一些处理。我已经创建了一个扩展TableMapper的映射器，我得到的异常是：

java.io.FileNotFoundException: File does not exist: hdfs://localhost:54310/usr/local/hadoop-2.5-cdh-3.0/share/hadoop/common/lib/protobuf-java-2.5.0.jar
at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1093)
at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1085)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1085)
at org.apache.hadoop.mapreduce.filecache.ClientDistributedCacheManager.getFileStatus(ClientDistributedCacheManager.java:288)
at org.apache.hadoop.mapreduce.filecache.ClientDistributedCacheManager.getFileStatus(ClientDistributedCacheManager.java:224)
at org.apache.hadoop.mapreduce.filecache.ClientDistributedCacheManager.determineTimestamps(ClientDistributedCacheManager.java:93)
at org.apache.hadoop.mapreduce.filecache.ClientDistributedCacheManager.determineTimestampsAndCacheVisibilities(ClientDistributedCacheManager.java:57)
at org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:267)
at org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:388)

但正如您在这里所注意到的，它在hdfs路径中搜索protobuf-java-2.5.0.jar，但实际上它存在于本地路径/usr/local/hadoop-2.5-cdh-3.0/share/hadoop/common/lib/protobuf-java-2.5.0.jar中，我已经验证过了。正常的mapreduce程序不会发生这种情况。只有当我使用TableMapper时，才会发生此错误。

我的驱动程序代码如下：

   public class AppDriver  {
public static void main(String[] args) throws Exception{
 Configuration hbaseConfig = HBaseConfiguration.create();
    hbaseConfig.set("hbase.zookeeper.quorum", PropertiesUtil.getZookeperHostName());
    hbaseConfig.set("hbase.zookeeper.property.clientport", PropertiesUtil.getZookeperPortNum());
 Job job = Job.getInstance(hbaseConfig, "hbasemapreducejob");
    job.setJarByClass( AppDriver.class );
    // Create a scan
    Scan scan = new Scan();
    scan.setCaching(500);        // 1 is the default in Scan, which will be bad for MapReduce jobs
    scan.setCacheBlocks(false);    // don't set to true for MR jobs
    // scan.setStartRow(Bytes.toBytes(PropertiesUtil.getHbaseStartRowkey()));
    //  scan.setStopRow(Bytes.toBytes(PropertiesUtil.getHbaseStopRowkey()));
 TableMapReduceUtil.initTableMapperJob(PropertiesUtil.getHbaseTableName(),scan, ESportMapper.class, Text.class, RecordStatusVO.class, job);
    job.setReducerClass( ESportReducer.class );
    job.setNumReduceTasks(1);
    TableMapReduceUtil.addDependencyJars(job);
    // Write the results to a file in the output directory
    FileOutputFormat.setOutputPath( job, new Path( args[1] ));

   boolean b = job.waitForCompletion(true);
    if (!b) {
        throw new IOException("error with job!");
    }
}

我将属性文件作为args[0]。

更多下划线信息：

我在本地系统中使用独立的CDH 5.3和hbase 0.98.6。我的hbase在hdfs上以sudo分布式模式运行。

我的等级构建如下：

apply plugin: 'java'
apply plugin: 'eclipse'
apply plugin: 'application' 
 // Basic Properties
 sourceCompatibility = 1.7
 targetCompatibility = '1.7'
 version = '3.0'
 mainClassName ="com.ESport.mapreduce.App.AppDriver"

 jar {
    manifest { 
     attributes "Main-Class": "$mainClassName"
  }  
 from {
    configurations.compile.collect { it.isDirectory() ? it :   zipTree(it) }
}
 zip64 true
}

repositories {
mavenCentral()
maven { url "http://clojars.org/repo" }
maven { url "http://repository.cloudera.com/artifactory/cloudera-  repos/" }
}
dependencies {
testCompile group: 'junit', name: 'junit', version: '4.+'
compile group: 'commons-collections', name: 'commons-collections', version: '3.2'
compile 'org.apache.storm:storm-core:0.9.4'
compile 'org.apache.commons:commons-compress:1.5'
compile 'org.elasticsearch:elasticsearch:1.7.1'
compile('org.apache.hadoop:hadoop-client:2.5.0-cdh5.3.0'){
    exclude group: 'org.slf4j'
}
compile('org.apache.hbase:hbase-client:0.98.6-cdh5.3.0') {
    exclude group: 'org.slf4j'
    exclude group: 'org.jruby'
    exclude group: 'jruby-complete'
    exclude group: 'org.codehaus.jackson'
}
compile 'org.apache.hbase:hbase-common:0.98.6-cdh5.3.0'
compile 'org.apache.hbase:hbase-server:0.98.6-cdh5.3.0'
compile 'org.apache.hbase:hbase-protocol:0.98.6-cdh5.3.0'
compile('com.thinkaurelius.titan:titan-core:0.5.2'){
    exclude group: 'org.slf4j'
}
compile('com.thinkaurelius.titan:titan-hbase:0.5.2'){
    exclude group: 'org.apache.hbase'
    exclude group: 'org.slf4j'
}
compile('com.tinkerpop.gremlin:gremlin-java:2.6.0'){
    exclude group: 'org.slf4j'
}
compile 'org.perf4j:perf4j:0.9.16'
compile 'com.fasterxml.jackson.core:jackson-core:2.5.3'
compile 'com.fasterxml.jackson.core:jackson-databind:2.5.3'
compile 'com.fasterxml.jackson.core:jackson-annotations:2.5.3'
compile 'com.fasterxml.jackson.dataformat:jackson-dataformat-yaml:2.1.2'

}

我正在使用这个命令来运行jar：

hadoop-jar ESportingMapReduce-3.0.jar config.properties/myoutput

Answer 1

如果您试图在hbase中以伪分布式模式进行设置，那么最可能的原因是将hadoop-home添加到$PATH中
只需从$PATH中删除hadoop-home，就可以在伪分布式模式下启动hbase
有些人默认会在.bashrc中添加hadoop-home
如果您在.bashrc中添加了它，请从中删除hadoop-home。